output
19952026
most citedFederated Neural Collaborative Filtering

203 citations

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12 papers · 1 filter

cs.CL2026★ 9 cited

Where do aspectual variants of light verb constructions belong?

Aggeliki Fotopoulou, Eric Laporte, Takuya Nakamura

Expressions with an aspectual variant of a light verb, e.g. 'take on debt' vs. 'have debt', are frequent in texts but often difficult to classify between verbal idioms, light verb…

cs.CL2026

Discovering and Causally Validating Emotion-Sensitive Neurons in Large Audio-Language Models

Xiutian Zhao, Björn Schuller, Berrak Sisman

Emotion is a central dimension of spoken communication, yet, we still lack a mechanistic account of how modern large audio-language models (LALMs) encode it internally. We present…

cs.CL2025★ 1 cited

9th Workshop on Sign Language Translation and Avatar Technologies (SLTAT 2025)

Fabrizio Nunnari, Cristina Luna Jiménez, Rosalee Wolfe +5

The Sign Language Translation and Avatar Technology (SLTAT) workshops continue a series of gatherings to share recent advances in improving deaf / human communication through non-i…

cs.CL2025★ 1 cited

Challenges and opportunities in portraying emotion in generated sign language

John C. McDonald, Rosalee Wolfe, Fabrizio Nunnari

Non-manual signals in sign languages continue to be a challenge for signing avatars. More specifically, emotional content has been difficult to incorporate because of a lack of a s…

cs.CL2025

DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models

Niyati Bafna, Emily Chang, Nathaniel R. Robinson +4

Most of the world's languages and dialects are low-resource, and lack support in mainstream machine translation (MT) models. However, many of them have a closely-related high-resou…

cs.CL2024★ 2 cited

Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models

Nikhil Sharma, Kenton Murray, Ziang Xiao

Although the multilingual capability of LLMs offers new opportunities to overcome the language barrier, do these capabilities translate into real-life scenarios where linguistic di…